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This paper aims to investigate the effects of volatility transmission among Bitcoin and other leading cryptocurrencies, namely, Binance USD, BNB, Cardano, Dogecoin, Ethereum, Polkadot, Polygon, Solana, Tether, USD Coin and XRP.

The multivariate BEKK-GARCH model is used with the daily data set from 1 January 2017 to 31 March 2023. The data set is analysed in its entirety and is also the COVID-19 epidemic period.

The study reveals that while the volatility of cryptocurrency prices is influenced by their own historical shocks and volatility, there is proof of the effects shock transmission among Bitcoin and other notable cryptocurrencies. Furthermore, the authors identify the spillover effects of volatility among all 11 pairs and provide evidence that conditional correlations with varying time constants are present, and predominantly positive for both the entire and COVID-19 outbreak periods.

The findings will be helpful to market experts who want to avoid losses in traditional assets. To develop the best risk management and hedging strategies, businesses might use the information to build asset portfolios or personalise payment methods. The use of such data by investors and portfolio managers could aid in the development of investment opportunities, risk insurance plans or hedging strategies for the management of financial portfolios.

To the best of the authors’ knowledge, the use of the BEKK-GARCH model for examining the effects of volatility spillover among Bitcoin and the other eleven top cryptocurrencies has not been previously documented.

This study investigates the short- and long-run relationship between stock prices and exchange rates in the Association of Southeast Asian Nations (ASEAN)+6 markets. In the short run, support is found for both the theory of a goods market where exchange rates influence stock returns and portfolio balance theory, where stock returns influence exchange rates.

The co-integration approach of linear and nonlinear augmented autoregressive distributed lag (ARDL) models was applied to daily data from 2 January 2017 to 30 June 2023.

The findings provide evidence that the goods market theory is supported solely in Indonesia and Singapore, while the portfolio balance theory is supported for Australia, China, India and Malaysia.

Policymakers and investors should seriously consider the importance of the study findings. The results show that all ASEAN+6 countries experience a short-term interaction between the two markets. This illustrates that exchange rates and stock price movements play vital roles in other markets. Stakeholders, particularly policymakers, should be aware of this critical relationship.

This is the first study to dynamically examine how the ASEAN+6 framework influences currency rates and stock markets.

This paper aims to investigate how ethnic diversity and finance options impact the survival of small- and medium-sized enterprises (SMEs) in New Zealand.

This study incorporates survey data and secondary data from the public domain. The surveys were conducted across six sectors of the economy categorised into four main ethnic groups involving six nationalities. This study adopts regression analysis using Probit, Logit and linear probability.

The financing choices of the entrepreneurs were consistent with pecking-order theory. The evidence suggests that information asymmetries are prevalent in New Zealand, as SMEs’ owners perceive significant risk from expanding businesses internationally. There is no relationship between ethnicity bias and the survival of firms.

This study provides a contribution to the literature on factors relating to business survival and guides the policymakers to use the benefits of potential factors to increase the survival rate of SMEs.

This study groups mutual funds using k-means clustering analysis and compares the k-means clustering process with existing clustering techniques using mutual fund data for equity funds, general fixed-income funds, and balanced open-end mutual funds rated by the Association of Investment Management Companies. Data are from January 2016 to December 2020 for 60 months and includes information on prices, risks, and investment policies. The sample for this study comprises 173 funds from 10 asset management companies with the highest net assets. The tool used for analysis is the k-means technique using a statistical package set for k = 3. The funds can be divided into three groups: Group 1 has 5 mutual funds (2.89%), Group 2 has 24 mutual funds (13.87%), and Group 3 has a total of 144 mutual funds (83.24%). In Group 1, four of the five mutual funds are equity funds with a track record of beating the market, and fund managers have good market timing skills. Moreover, the efficiency of fund grouping using the k-means technique was compared with the existing grouping with close results at 57.23%. This work provides a methodology to obtain a better categorization of mutual funds by using k-means clustering, allowing the investors to know how mutual funds are. This categorization is very useful for improving the formulation of mutual funds, with the goal of further optimizing investment.

The purpose of this paper is to investigate the relationships between stock market returns of 13 countries based upon monthly data spanning December 1987 to April 2007.

Specifically, the principal component (PC) and maximum likelihood (ML) methods are used to examine any discernable patterns of stock market co‐movements.

Factor analysis provides evidence that stock returns in a number of Asian countries are highly correlated and, based on the resulting robust factor loadings, they form the first well‐defined common factor. The paper also finds consistent results (based on both the PC and ML methods) suggesting that the stock market returns of developed countries are also highly correlated, and constitute our second factor.

The paper concludes that, inter alia, geographical proximity and the level of economic development do matter when it comes to co‐movements of stock returns and that this has important implications for financial portfolio diversification if the aim is to reduce systematic risks across countries.

Very few previous studies have investigated the benefits from portfolio diversification by using the PC and ML methods.

This purpose of this paper is to investigate the existence of cointegration and causality between the stock market price indices of Thailand and its major trading partners (Australia, Hong Kong, Indonesia, Japan, Korea, Malaysia, the Philippines, Singapore, Taiwan, the UK and the USA), using monthly data spanning December 1987 to December 2005.

This paper used both the Engle‐Granger two‐step procedure (assuming no structural breaks) and the Gregory and Hansen test (allowing for one structural break) provide no evidence of a long‐run relationship between the stock prices of Thailand and these countries.

Based on the empirical results obtained from these two residual‐based cointegration tests, potential long‐run benefits exist from diversifying the investment portfolios internationally to reduce the associated systematic risks across countries. However, in the short‐run, three unidirectional Granger causalities run from the stock returns of Hong Kong, the Philippines and the UK to those of Thailand, pair‐wise. Furthermore, there are two unidirectional causalities running from the stock returns of Thailand to those of Indonesia and the USA. Empirical evidence was also found of bidirectional Granger causality, suggesting that the stock returns of Thailand and three of its neighbouring countries (Malaysia, Singapore and Taiwan) are interrelated.

No previous study examines the possibility that the pair‐wise long‐run relationship between the stock prices of Thailand and those of both emerging and developed markets may have been subject to a structural break.

Empirical evidence shows that banking development has a significant impact on macro-level economic growth through the finance-growth nexus and also highlights the prominent effect of development on local economy and household welfare, particularly in developing countries with restricted access to financial systems. The authors investigated the role of local banking development in affecting household welfare in Thailand which is a modest degree of financial access compare to other countries. The authors focus on the development of the banking sector in four dimensions, including financial depth, financial stability, financial efficiency and financial inclusion, and its impact on household welfare using the generalized method of moments approach to address the endogeneity problem. The authors employ biennial household welfare data from the National Statistical Office survey from 2007 to 2019 which covers all provinces in Thailand. The findings suggest that each type of banking development significantly affects household income and consumption in Thailand, although in different ways. Financial depth decreases income and consumption expenditure, while financial inclusion increases income and consumption expenditure (level effect). However, there are insignificant impacts on volatility of household income and consumption (volatility effect). Our findings prove that the implementation of policies to promote banking development either promote or decrease household welfare. This study can provide insight on policy impact and assist policymakers in considering the adoption of banking development policies to promote growth of the local economy, while at the same time aiming to reduce welfare inequality.

This chapter examines the dynamic linkages between the returns of Bitcoin, gold, and oil by using daily closing price data between July 17, 2010 and January 8, 2021. This study applies the diagonal BEKK–GARCH model for the purpose of analyzing a volatility spillover of variables in positive or negative ways. The empirical results show that the lagged returns inversely affect their current returns in oil. Based on the return spillovers between Bitcoin and gold, the empirical results indicate a unidirectional return spillover from Bitcoin to gold. Moreover, the authors found a unidirectional return transmission is observed from oil to Bitcoin, implying that oil returns are useful in forecasting Bitcoin returns. These findings are not only valuable for understanding of the interrelationships between the returns of Bitcoin, gold, and oil, but they are also of great interest to portfolio managers, investors, and investment funds that are actively dealing in Bitcoin, gold, and oil.

Financial literacy can affect well-being. This chapter aims to assess financial literacy of farmers in Khon Kaen, Thailand. The chapter investigates the relationship between it and the well-being of farmers. Data were collected from 354 farmers in the northeast of Thailand. The analysis adopts descriptive statistics and inferential statistics to test the Least Significant Difference as well as using multiple regression analysis. The results show that financial attitudes had a positive influence on the well-being of farmers, while financial behavior had a negative influence. Financial literacy influences the well-being of farmers differently, depending on personal characteristics such as education level, gender and monthly income.